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dsh-codex-connect

franksong2702/dsh-codex-connect

Connect ChatGPT OAuth and OpenAI Codex models to DeepSeek Harness, with opt-in search and image tools.

12037TypeScriptApache-2.0Source

Install

Add dsh-codex-connect to DeepSeek Harness

via npm

Resolves a published tarball rather than cloning the repository, and installs without any extra setup. Swap `web` for your profile name if you run another one.

via GitHub · npm package

Installing from GitHub runs the project's build script, which pnpm blocks until you allowlist it — run the command once and pnpm prints the exact key to add under `allowBuilds` in ~/.dsh/profiles/web/pnpm-workspace.yaml.

What happened when we ran it

Installed cleanly when we ran it

Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 19d ago.

Show it in your README

install verified — dshmarketplace

For maintainers: the badge serves this listing's latest sandbox verdict, so a re-run updates it on its own — and it links readers to the full result here.

Due diligence

Before you install dsh-codex-connect

  • Source of record: franksong2702/dsh-codex-connect — present in the community registry that DSH's own plugin market installs from.
  • Licensed under Apache-2.0.
  • Detected: terminal surface. Read the source before granting these.
  • A listing here is not a security review. Plugins run with your agent's permissions.

The AI take

What it is — Integrates ChatGPT OAuth and OpenAI Codex models into DeepSeek Harness with optional search and image tools.

Who it is for — For users conducting conversations in the DeepSeek Harness Composer who need ChatGPT OAuth to access Codex models, this plugin is suitable. Users who rely on built-in models and global search providers do not need to install this plugin.

Watch out — Sandbox testing passed: the plugin installs successfully in a fresh profile and is registered by Harness. It will execute shell commands. No obvious issues found.

The verdict — I would install it because it adds the Codex model provider via ChatGPT OAuth while Harness retains control over tools, permissions, approval prompts, attachments, session persistence, compaction, and recovery, but only if you need Codex models.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.

What dsh-codex-connect does

Abstract streams converge through an orbital ring into a translucent processing core.

dsh-codex-connect is a DeepSeek Harness plugin that connects a ChatGPT OAuth account and OpenAI Codex models to an agent session. It adds an openai-codex model catalogue and a separate ChatGPT sign-in flow under Settings → Plugins → Plugin configuration → Codex Connect. Selected models run through DeepSeek Harness's normal LLM service, so streaming, tool calls, reasoning replay, compaction, filesystem controls, permission gates and approval prompts remain managed by DeepSeek Harness.

The installation is additive: it does not change the profile's default model or global search route. Standalone search, view_image and GPT Image generation stay disabled until enabled in the plugin card. The plugin also reads public package metadata, local package metadata and the repository's verified-compatibility.json to report plugin/DeepSeek Harness version compatibility and available updates. It does not run an upgrade command itself.

This is for users with a ChatGPT subscription who want eligible Codex models inside DeepSeek Harness without replacing its existing model and search settings. It is the wrong choice for applications needing an OpenAI Platform API credential: the README explicitly says ChatGPT OAuth is not one. The listed terminal surface is used by the documented dsh installation and update commands; browser approval is also required for sign-in.

dsh-codex-connect documentation

Configuring dsh-codex-connect

DeepSeek Harness loads dsh-codex-connect into a selected profile. Open Settings → Plugins → Plugin configuration → Codex Connect to start the separate ChatGPT OAuth login and manage optional capabilities. The README does not document named configuration keys or environment variables. A new installation displays Not signed in; after browser approval it displays Signed in.

The bundle is additive. DeepSeek Harness keeps the current default model and global search route. Standalone search, view_image and image generation are disabled until explicitly enabled. When an eligible GPT Codex model is selected, the Composer exposes a conversation-scoped Fast Mode toggle and a weekly-quota indicator.

Commands

dsh web starts the web UI for the selected profile. The documented manual update command is dsh plugin --profile web update dsh-codex-connect; web can be replaced with the profile name in use. The plugin does not execute upgrade commands automatically. After an update, restart the profile's DeepSeek Harness Web process if the running process still reports the old version.

Compatibility and updates

The DeepSeek Harness Web server periodically checks public package metadata and verified-compatibility.json from the repository. That file records exact plugin and DeepSeek Harness version pairs. The status can be green for a verified pair, yellow when the latest plugin should be installed first, red when no matching record exists, or gray when the version is unrecorded or the public check fails. A newer-version notice shows user-facing changes and technical release notes, but updating remains manual.

Requirements and limits

A working dsh installation, a ChatGPT account with the required subscription access, and a browser capable of completing OAuth approval are required. If an embedded WebView blocks the sign-in window, the displayed Open ChatGPT sign-in page link opens the flow in the system browser. The plugin does not convert a ChatGPT subscription into an OpenAI Platform API credential.

Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub

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